Study on Optimization of Geothermal Tail Water Reinjection Process in Moderately Deep Sandstone by Hongyan Li, Pengtao Wang, Bin Liu, Xianyu Zhang, Shiyan Guo, Hui Xiao, Hai Huang

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Optimizing energy systems of livestock farms with computational intelligence for achieving energy autonomy by Anatoliy Tryhuba, Taras Hutsol, Jonas Čėsna, Inna Tryhuba, Krzysztof Mudryk, Sławomir Francik, Savelii Kukharets, Ivan Mishchenko, Roman Oliinyk

“…Given the significant energy consumption by livestock farms, as well as the reduced dependence on traditional energy sources, there is a need to optimise energy systems using renewable sources. …”
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Optimizing Hybrid Renewable Energy Systems for Enhanced Sustainability and Efficiency in Rural Communities by Bartolomeo Cosenza, Gabriele Pannocchia, Marco Vaccari

“…The main objective is to optimize energy supply while minimizing fuel consumption through dynamic management of these different sources. …”
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Grouping control of electric vehicles based on improved golden eagle optimization for peaking by Yang Yu, Yuhang Huo, Shixuan Gao, Qian Wu, Mai Liu, Xiao Chen, Xiaoming Zheng, Xinlei Cai

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Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

“…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
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Optimal relay selection for full duplex SWIPT-NOMA systems with maximal throughput by Taoshen LI, Anni SHI, Zhe WANG, Lu HE

“…To improve the performance of 5G communication system, a full duplex Internet of things (IoT) relay system model was built by introducing the non-orthogonal multi-access (NOMA) technology.For the relay system of simultaneous wireless information and power transfer (SWIPT), it was considered that the relay node can harvest the energy of the source node, the self-interference signal of the loop channel and the free energy access point (EAP), and NOMA technology was used to forward the source node signal and its own signal to different destination nodes.Based on the model, a power distribution collaboration SWIPT relay selection strategy was proposed to optimize system throughput.Firstly, the problem model was established based on the constraints of communication quality of service and transmission power of source nodes.And then, the original nonlinear 0-1 programming problem was converted into a pair of coupling optimization problem by mathematical transformation, and the optimal relay selection of outer optimization problem was solved based on the optimal solution of the internal optimization problem.Finally, an optimal relay selection algorithm was used to maximize system throughput.Simulation results show that the proposed model and strategy are superior to the traditional maximum-minimum relay selection schemes in terms of throughput gain, and the consideration of EAP can significantly improve the interrupt performance.…”
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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

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Optimal Operation Method for Microgrid with Wind/PV/Diesel Generator/Battery and Desalination by Qingfeng Tang, Nian Liu, Jianhua Zhang

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Transient thermal circuit model optimization for power cables with axial heat dissipation by Tonghui Qin, Aiqing Ma, Huangxiang Su, Xinao Cao

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Optimizing Solar Panel Efficiency: Integration of Dual Axis Solar Tracking and Reflectors by Alvin Rinaldi Wiharja, Levin Halim, Faisal Wahab

“…Solar panels have relatively low efficiency, but their performance can be enhanced by a tracking system directing the panels perpendicular to the light source and adding reflectors to capture more sunlight. …”
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Optimized Method for Solving Boltzmann Transport Equations in Subgroup Method of Resonance Treatment by Song Li, Lei Liu, Yongfa Zhang, Qian Zhang, Qi Cai

“…By consolidating all the resonance groups into an equivalent single group and performing fixed-source calculations only for the representative subgroup cross-sections, this method significantly reduced the computational burden compared to the conventional subgroup method. …”
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An Improved Constrained Multiobjective Optimization for Energy Multimodal Transport Among Clustering Islands by Xu Yang, Fuxing Zhang, Honglei Miao

“…The transportation network also enables islands to serve as emergency power sources for each other in some emergency situations. …”
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Optimized Design of Distributed Generalized Reed-Solomon Coded Generalized Spatial Modulation by C. L. Zhao, F. F. Yang, H. J. Xu

“…When the GRS codes at the source and relay have large information lengths, the OISS algorithm possesses high complexity. …”
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Optimal Energy Management of Microgrids using Quantum Teaching Learning Based Algorithm by Zahra Esmaeili, Seyed Hamid Hosseini

“…Uncertainties in the load and the output power of renewable energy sources are modeled using robust optimization (RO). …”
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Isolation and Screening of the Lignin-degrading Fungusand Optimization of the Mycelium Pellet Cultivation Conditions by FENG Qian, GUO Wei, YAN Hong

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Screening, identification and enzyme production conditions optimization of a cellulase-producing yeast by RAN Guangyao, TANG Jiadai, ZHAO Yimei, MENG Zhuoni, LONG Yafei, GUO Min, GUO Ju

“…The temperature, ethanol, and pH tolerance of the strain JXJP-Y19 were 39 ℃, 8%(V/V), and 3, respectively, showing good tolerance to environmental stress. The optimal enzyme production conditions were as follows: bran as carbon source, cottonseed cake as nitrogen source, inoculum 1%, initial pH 6 and fermentation temperature 30 ℃. …”
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Media Optimization for Amylase Production through OFAT Using Onion Peel as Substrate by Zahid Anila, Khedkar Renu D., Sharma Shashi, Rajput Sanjay

“…The optimized conditions—15 g/L substrate concentration, peptone (2 g/L) as the nitrogen source, neutral pH (pH 7), and a temperature of 37°C yielded the highest bacterial growth (OD 1.00), enzyme activity (0.38 μmol/min), and protein concentration (0.60 mg/ml). …”
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Design and Optimization of Solar Carport Canopies for Maximum Power Generation and Efficiency at Bahawalpur by Farhana Umer, Muhammad Shehzad Aslam, Muhammad Shoaib Rabbani, Muhammad Javed Hanif, Nadeem Naeem, Muhammad Tafseer Abbas

“…In recent years, the upturn demand of electricity and the generation of electrical power demand from fossil fuels are increasing day by day which results in environmental impacts on the atmosphere by greenhouse gases, and a high cost of electric power from these sources makes it unaffordable. The use of renewable energy sources can overcome this problem. …”
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Hybrid Renewable Energy Systems—A Review of Optimization Approaches and Future Challenges by Akvile Giedraityte, Sigitas Rimkevicius, Mantas Marciukaitis, Virginijus Radziukynas, Rimantas Bakas

“…Key findings highlight the growing role of advanced, multi-energy storage technologies in stabilizing HRESs and addressing the intermittency of renewable sources. Moreover, the integration of metaheuristic algorithms with machine learning has enabled dynamic adaptability and predictive optimization, paving the way for real-time energy management. …”
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Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province by Qiu Shi, Yu Qiang, Yang Linzhe, Ma Jun, Wang Ge, Yue Depeng

“…[Results] ① The sensitivity of land desertification in Gansu Province showed a spatial pattern of gradually decreasing from the northwest to the southeast, and the land desertification in the northwest was serious. ② The dense ecological sources and corridors in the southeast part of Gansu Province and the scarcity of sources and corridors in the northwest part indicated that the ecological network in the northwest was poorly connected, and the ecological background needed to be strengthened. ③ The node robustness and connection robustness of the ecological network after edge-enhanced optimization was significantly improved, while the robustness of network edges was slightly but not significantly improved. …”
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